Python for Data Analysis: Step-By-Step with Projects - Distribution of One Feature

This lesson covers data visualization techniques for exploring the distribution of numerical and categorical features. It introduces methods like describe, histograms, box plots, and KDE plots for numerical data, and value counts and bar plots for categorical data. The lesson emphasizes understanding data distributions and the importance of visualizations in data analysis.

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